Pandas Profiling Report

Dataset statistics

Number of variables	16
Number of observations	10127
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	128.0 B

Variable types

Numeric	8
Categorical	6
Text	2

Alerts

`tipo_cartao` is highly imbalanced (79.2%)	Imbalance
`id` has unique values	Unique
`dependentes` has 904 (8.9%) zeros	Zeros
`iteracoes_12m` has 399 (3.9%) zeros	Zeros

Reproduction

Analysis started	2024-04-29 18:36:33.129042
Analysis finished	2024-04-29 18:36:41.004056
Duration	7.88 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

id
Real number (ℝ)

UNIQUE

Distinct	10127
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.3917761 × 10⁸

Minimum	7.0808208 × 10⁸
Maximum	8.2834308 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	7.0808208 × 10⁸
5-th percentile	7.0912039 × 10⁸
Q1	7.1303677 × 10⁸
median	7.1792636 × 10⁸
Q3	7.7314353 × 10⁸
95-th percentile	8.1421203 × 10⁸
Maximum	8.2834308 × 10⁸
Range	1.20261 × 10⁸
Interquartile range (IQR)	60106762

Descriptive statistics

Standard deviation	36903783
Coefficient of variation (CV)	0.049925462
Kurtosis	-0.6156397
Mean	7.3917761 × 10⁸
Median Absolute Deviation (MAD)	6347700
Skewness	0.99560101
Sum	7.4856516 × 10¹²
Variance	1.3618892 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
768805383	1	< 0.1%
711784908	1	< 0.1%
720133908	1	< 0.1%
803197833	1	< 0.1%
812222208	1	< 0.1%
757634583	1	< 0.1%
719362458	1	< 0.1%
789331908	1	< 0.1%
715616358	1	< 0.1%
806900508	1	< 0.1%
Other values (10117)	10117	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
708082083	1	< 0.1%
708083283	1	< 0.1%
708084558	1	< 0.1%
708085458	1	< 0.1%
708086958	1	< 0.1%
708095133	1	< 0.1%
708098133	1	< 0.1%
708099183	1	< 0.1%
708100533	1	< 0.1%
708103608	1	< 0.1%

Value	Count	Frequency (%)
828343083	1	< 0.1%
828298908	1	< 0.1%
828294933	1	< 0.1%
828291858	1	< 0.1%
828288333	1	< 0.1%
828285858	1	< 0.1%
828281733	1	< 0.1%
828236133	1	< 0.1%
828227433	1	< 0.1%
828215508	1	< 0.1%

default
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

0	8500
1	1627

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10127
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	8500	83.9%
1	1627	16.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8500	83.9%
1	1627	16.1%

Most occurring characters

Value	Count	Frequency (%)
0	8500	83.9%
1	1627	16.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10127	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	8500	83.9%
1	1627	16.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10127	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	8500	83.9%
1	1627	16.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10127	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	8500	83.9%
1	1627	16.1%

idade
Real number (ℝ)

Distinct	45
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.32596

Minimum	26
Maximum	73
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	26
5-th percentile	33
Q1	41
median	46
Q3	52
95-th percentile	60
Maximum	73
Range	47
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.016814
Coefficient of variation (CV)	0.1730523
Kurtosis	-0.28861992
Mean	46.32596
Median Absolute Deviation (MAD)	6
Skewness	-0.033605016
Sum	469143
Variance	64.269307
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
44	500	4.9%
49	495	4.9%
46	490	4.8%
45	486	4.8%
47	479	4.7%
43	473	4.7%
48	472	4.7%
50	452	4.5%
42	426	4.2%
51	398	3.9%
Other values (35)	5456	53.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26	78	0.8%
27	32	0.3%
28	29	0.3%
29	56	0.6%
30	70	0.7%
31	91	0.9%
32	106	1.0%
33	127	1.3%
34	146	1.4%
35	184	1.8%

Value	Count	Frequency (%)
73	1	< 0.1%
70	1	< 0.1%
68	2	< 0.1%
67	4	< 0.1%
66	2	< 0.1%
65	101	1.0%
64	43	0.4%
63	65	0.6%
62	93	0.9%
61	93	0.9%

sexo
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

F	5358
M	4769

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10127
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	F
3rd row	M
4th row	F
5th row	M

Common Values

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	5358	52.9%
m	4769	47.1%

Most occurring characters

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10127	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10127	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10127	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

dependentes
Real number (ℝ)

ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3462032

Minimum	0
Maximum	5
Zeros	904
Zeros (%)	8.9%
Negative	0
Negative (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2989083
Coefficient of variation (CV)	0.55362142
Kurtosis	-0.68301665
Mean	2.3462032
Median Absolute Deviation (MAD)	1
Skewness	-0.020825536
Sum	23760
Variance	1.6871629
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	2732	27.0%
2	2655	26.2%
1	1838	18.1%
4	1574	15.5%
0	904	8.9%
5	424	4.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	904	8.9%
1	1838	18.1%
2	2655	26.2%
3	2732	27.0%
4	1574	15.5%
5	424	4.2%

Value	Count	Frequency (%)
5	424	4.2%
4	1574	15.5%
3	2732	27.0%
2	2655	26.2%
1	1838	18.1%
0	904	8.9%

escolaridade
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

mestrado	3128
ensino medio	2013
na	1519
sem educacao formal	1487
graduacao	1013

Length

Max length	19
Median length	12
Mean length	9.7058359
Min length	2

Characters and Unicode

Total characters	98291
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ensino medio
2nd row	mestrado
3rd row	mestrado
4th row	ensino medio
5th row	sem educacao formal

Common Values

Value	Count	Frequency (%)
mestrado	3128	30.9%
ensino medio	2013	19.9%
na	1519	15.0%
sem educacao formal	1487	14.7%
graduacao	1013	10.0%
doutorado	967	9.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mestrado	3128	20.7%
ensino	2013	13.3%
medio	2013	13.3%
na	1519	10.1%
sem	1487	9.8%
educacao	1487	9.8%
formal	1487	9.8%
graduacao	1013	6.7%
doutorado	967	6.4%

Most occurring characters

Value	Count	Frequency (%)
o	14042	14.3%
a	13114	13.3%
e	10128	10.3%
d	9575	9.7%
m	8115	8.3%
s	6628	6.7%
r	6595	6.7%
n	5545	5.6%
	4987	5.1%
t	4095	4.2%
Other values (6)	15467	15.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	98291	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	14042	14.3%
a	13114	13.3%
e	10128	10.3%
d	9575	9.7%
m	8115	8.3%
s	6628	6.7%
r	6595	6.7%
n	5545	5.6%
	4987	5.1%
t	4095	4.2%
Other values (6)	15467	15.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	98291	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	14042	14.3%
a	13114	13.3%
e	10128	10.3%
d	9575	9.7%
m	8115	8.3%
s	6628	6.7%
r	6595	6.7%
n	5545	5.6%
	4987	5.1%
t	4095	4.2%
Other values (6)	15467	15.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	98291	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	14042	14.3%
a	13114	13.3%
e	10128	10.3%
d	9575	9.7%
m	8115	8.3%
s	6628	6.7%
r	6595	6.7%
n	5545	5.6%
	4987	5.1%
t	4095	4.2%
Other values (6)	15467	15.7%

estado_civil
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

casado	4687
solteiro	3943
na	749
divorciado	748

Length

Max length	10
Median length	8
Mean length	6.7783154
Min length	2

Characters and Unicode

Total characters	68644
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	casado
2nd row	solteiro
3rd row	casado
4th row	na
5th row	casado

Common Values

Value	Count	Frequency (%)
casado	4687	46.3%
solteiro	3943	38.9%
na	749	7.4%
divorciado	748	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
casado	4687	46.3%
solteiro	3943	38.9%
na	749	7.4%
divorciado	748	7.4%

Most occurring characters

Value	Count	Frequency (%)
o	14069	20.5%
a	10871	15.8%
s	8630	12.6%
d	6183	9.0%
i	5439	7.9%
c	5435	7.9%
r	4691	6.8%
l	3943	5.7%
t	3943	5.7%
e	3943	5.7%
Other values (2)	1497	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	68644	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	14069	20.5%
a	10871	15.8%
s	8630	12.6%
d	6183	9.0%
i	5439	7.9%
c	5435	7.9%
r	4691	6.8%
l	3943	5.7%
t	3943	5.7%
e	3943	5.7%
Other values (2)	1497	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	68644	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	14069	20.5%
a	10871	15.8%
s	8630	12.6%
d	6183	9.0%
i	5439	7.9%
c	5435	7.9%
r	4691	6.8%
l	3943	5.7%
t	3943	5.7%
e	3943	5.7%
Other values (2)	1497	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	68644	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	14069	20.5%
a	10871	15.8%
s	8630	12.6%
d	6183	9.0%
i	5439	7.9%
c	5435	7.9%
r	4691	6.8%
l	3943	5.7%
t	3943	5.7%
e	3943	5.7%
Other values (2)	1497	2.2%

salario_anual
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

menos que $40K	3561
$40K - $60K	1790
$80K - $120K	1535
$60K - $80K	1402
na	1112

Length

Max length	14
Median length	12
Mean length	10.931075
Min length	2

Characters and Unicode

Total characters	110699
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$60K - $80K
2nd row	menos que $40K
3rd row	$80K - $120K
4th row	menos que $40K
5th row	$60K - $80K

Common Values

Value	Count	Frequency (%)
menos que $40K	3561	35.2%
$40K - $60K	1790	17.7%
$80K - $120K	1535	15.2%
$60K - $80K	1402	13.8%
na	1112	11.0%
$120K +	727	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	5454	19.9%
40k	5351	19.5%
menos	3561	13.0%
que	3561	13.0%
60k	3192	11.6%
80k	2937	10.7%
120k	2262	8.2%
na	1112	4.1%

Most occurring characters

Value	Count	Frequency (%)
	17303	15.6%
$	13742	12.4%
K	13742	12.4%
0	13742	12.4%
e	7122	6.4%
4	5351	4.8%
-	4727	4.3%
n	4673	4.2%
m	3561	3.2%
u	3561	3.2%
Other values (9)	23175	20.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	110699	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	17303	15.6%
$	13742	12.4%
K	13742	12.4%
0	13742	12.4%
e	7122	6.4%
4	5351	4.8%
-	4727	4.3%
n	4673	4.2%
m	3561	3.2%
u	3561	3.2%
Other values (9)	23175	20.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	110699	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	17303	15.6%
$	13742	12.4%
K	13742	12.4%
0	13742	12.4%
e	7122	6.4%
4	5351	4.8%
-	4727	4.3%
n	4673	4.2%
m	3561	3.2%
u	3561	3.2%
Other values (9)	23175	20.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	110699	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	17303	15.6%
$	13742	12.4%
K	13742	12.4%
0	13742	12.4%
e	7122	6.4%
4	5351	4.8%
-	4727	4.3%
n	4673	4.2%
m	3561	3.2%
u	3561	3.2%
Other values (9)	23175	20.9%

tipo_cartao
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

blue	9436
silver	555
gold	116
platinum	20

Length

Max length	8
Median length	4
Mean length	4.1175077
Min length	4

Characters and Unicode

Total characters	41698
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	blue
2nd row	blue
3rd row	blue
4th row	blue
5th row	blue

Common Values

Value	Count	Frequency (%)
blue	9436	93.2%
silver	555	5.5%
gold	116	1.1%
platinum	20	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
blue	9436	93.2%
silver	555	5.5%
gold	116	1.1%
platinum	20	0.2%

Most occurring characters

Value	Count	Frequency (%)
l	10127	24.3%
e	9991	24.0%
u	9456	22.7%
b	9436	22.6%
i	575	1.4%
s	555	1.3%
v	555	1.3%
r	555	1.3%
g	116	0.3%
o	116	0.3%
Other values (6)	216	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	41698	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	10127	24.3%
e	9991	24.0%
u	9456	22.7%
b	9436	22.6%
i	575	1.4%
s	555	1.3%
v	555	1.3%
r	555	1.3%
g	116	0.3%
o	116	0.3%
Other values (6)	216	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	41698	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	10127	24.3%
e	9991	24.0%
u	9456	22.7%
b	9436	22.6%
i	575	1.4%
s	555	1.3%
v	555	1.3%
r	555	1.3%
g	116	0.3%
o	116	0.3%
Other values (6)	216	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	41698	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	10127	24.3%
e	9991	24.0%
u	9456	22.7%
b	9436	22.6%
i	575	1.4%
s	555	1.3%
v	555	1.3%
r	555	1.3%
g	116	0.3%
o	116	0.3%
Other values (6)	216	0.5%

meses_de_relacionamento
Real number (ℝ)

Distinct	44
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.928409

Minimum	13
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	13
5-th percentile	22
Q1	31
median	36
Q3	40
95-th percentile	50
Maximum	56
Range	43
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.9864163
Coefficient of variation (CV)	0.22228695
Kurtosis	0.40010012
Mean	35.928409
Median Absolute Deviation (MAD)	4
Skewness	-0.10656536
Sum	363847
Variance	63.782846
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
36	2463	24.3%
37	358	3.5%
34	353	3.5%
38	347	3.4%
39	341	3.4%
40	333	3.3%
31	318	3.1%
35	317	3.1%
33	305	3.0%
30	300	3.0%
Other values (34)	4692	46.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	70	0.7%
14	16	0.2%
15	34	0.3%
16	29	0.3%
17	39	0.4%
18	58	0.6%
19	63	0.6%
20	74	0.7%
21	83	0.8%
22	105	1.0%

Value	Count	Frequency (%)
56	103	1.0%
55	42	0.4%
54	53	0.5%
53	78	0.8%
52	62	0.6%
51	80	0.8%
50	96	0.9%
49	141	1.4%
48	162	1.6%
47	171	1.7%

qtd_produtos
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.8125802

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.5544079
Coefficient of variation (CV)	0.40770496
Kurtosis	-1.0061305
Mean	3.8125802
Median Absolute Deviation (MAD)	1
Skewness	-0.16245241
Sum	38610
Variance	2.4161838
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	2305	22.8%
4	1912	18.9%
5	1891	18.7%
6	1866	18.4%
2	1243	12.3%
1	910	9.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	910	9.0%
2	1243	12.3%
3	2305	22.8%
4	1912	18.9%
5	1891	18.7%
6	1866	18.4%

Value	Count	Frequency (%)
6	1866	18.4%
5	1891	18.7%
4	1912	18.9%
3	2305	22.8%
2	1243	12.3%
1	910	9.0%

iteracoes_12m
Real number (ℝ)

ZEROS

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4553175

Minimum	0
Maximum	6
Zeros	399
Zeros (%)	3.9%
Negative	0
Negative (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1062251
Coefficient of variation (CV)	0.45054261
Kurtosis	0.00086265663
Mean	2.4553175
Median Absolute Deviation (MAD)	1
Skewness	0.011005626
Sum	24865
Variance	1.2237341
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	3380	33.4%
2	3227	31.9%
1	1499	14.8%
4	1392	13.7%
0	399	3.9%
5	176	1.7%
6	54	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	399	3.9%
1	1499	14.8%
2	3227	31.9%
3	3380	33.4%
4	1392	13.7%
5	176	1.7%
6	54	0.5%

Value	Count	Frequency (%)
6	54	0.5%
5	176	1.7%
4	1392	13.7%
3	3380	33.4%
2	3227	31.9%
1	1499	14.8%
0	399	3.9%

meses_inativo_12m
Real number (ℝ)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3411672

Minimum	0
Maximum	6
Zeros	29
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0106224
Coefficient of variation (CV)	0.4316746
Kurtosis	1.0985226
Mean	2.3411672
Median Absolute Deviation (MAD)	1
Skewness	0.63306113
Sum	23709
Variance	1.0213576
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	3846	38.0%
2	3282	32.4%
1	2233	22.0%
4	435	4.3%
5	178	1.8%
6	124	1.2%
0	29	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	29	0.3%
1	2233	22.0%
2	3282	32.4%
3	3846	38.0%
4	435	4.3%
5	178	1.8%
6	124	1.2%

Value	Count	Frequency (%)
6	124	1.2%
5	178	1.8%
4	435	4.3%
3	3846	38.0%
2	3282	32.4%
1	2233	22.0%
0	29	0.3%

limite_credito
Text

Distinct	9272
Distinct (%)	91.6%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

Length

Max length	9
Median length	8
Mean length	8.2719463
Min length	8

Characters and Unicode

Total characters	83770
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9042 ?
Unique (%)	89.3%

Sample

1st row	12.691,51
2nd row	8.256,96
3rd row	3.418,56
4th row	3.313,03
5th row	4.716,22

Value	Count	Frequency (%)
1.438,21	11	0.1%
34.516,45	10	0.1%
1.438,72	10	0.1%
1.438,31	10	0.1%
34.516,25	10	0.1%
34.516,56	10	0.1%
1.438,92	10	0.1%
1.438,61	10	0.1%
1.438,33	10	0.1%
34.516,07	10	0.1%
Other values (9262)	10026	99.0%

Most occurring characters

Value	Count	Frequency (%)
.	10127	12.1%
,	10127	12.1%
1	8426	10.1%
2	7711	9.2%
3	7322	8.7%
4	6715	8.0%
5	6046	7.2%
6	6038	7.2%
8	5698	6.8%
7	5240	6.3%
Other values (2)	10320	12.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	83770	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	10127	12.1%
,	10127	12.1%
1	8426	10.1%
2	7711	9.2%
3	7322	8.7%
4	6715	8.0%
5	6046	7.2%
6	6038	7.2%
8	5698	6.8%
7	5240	6.3%
Other values (2)	10320	12.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	83770	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	10127	12.1%
,	10127	12.1%
1	8426	10.1%
2	7711	9.2%
3	7322	8.7%
4	6715	8.0%
5	6046	7.2%
6	6038	7.2%
8	5698	6.8%
7	5240	6.3%
Other values (2)	10320	12.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	83770	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	10127	12.1%
,	10127	12.1%
1	8426	10.1%
2	7711	9.2%
3	7322	8.7%
4	6715	8.0%
5	6046	7.2%
6	6038	7.2%
8	5698	6.8%
7	5240	6.3%
Other values (2)	10320	12.3%

valor_transacoes_12m
Text

Distinct	10035
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

Length

Max length	9
Median length	8
Mean length	8.043152
Min length	6

Characters and Unicode

Total characters	81453
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9945 ?
Unique (%)	98.2%

Sample

1st row	1.144,90
2nd row	1.291,45
3rd row	1.887,72
4th row	1.171,56
5th row	816,08

Value	Count	Frequency (%)
3.851,51	3	< 0.1%
1.388,72	3	< 0.1%
7.855,26	2	< 0.1%
4.100,15	2	< 0.1%
4.160,20	2	< 0.1%
4.651,47	2	< 0.1%
2.237,14	2	< 0.1%
4.442,32	2	< 0.1%
1.836,23	2	< 0.1%
4.424,76	2	< 0.1%
Other values (10025)	10105	99.8%

Most occurring characters

Value	Count	Frequency (%)
,	10127	12.4%
.	9967	12.2%
4	8290	10.2%
1	7794	9.6%
2	6838	8.4%
3	6774	8.3%
5	5811	7.1%
7	5443	6.7%
8	5241	6.4%
6	5124	6.3%
Other values (2)	10044	12.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	81453	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
,	10127	12.4%
.	9967	12.2%
4	8290	10.2%
1	7794	9.6%
2	6838	8.4%
3	6774	8.3%
5	5811	7.1%
7	5443	6.7%
8	5241	6.4%
6	5124	6.3%
Other values (2)	10044	12.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	81453	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
,	10127	12.4%
.	9967	12.2%
4	8290	10.2%
1	7794	9.6%
2	6838	8.4%
3	6774	8.3%
5	5811	7.1%
7	5443	6.7%
8	5241	6.4%
6	5124	6.3%
Other values (2)	10044	12.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	81453	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
,	10127	12.4%
.	9967	12.2%
4	8290	10.2%
1	7794	9.6%
2	6838	8.4%
3	6774	8.3%
5	5811	7.1%
7	5443	6.7%
8	5241	6.4%
6	5124	6.3%
Other values (2)	10044	12.3%

qtd_transacoes_12m
Real number (ℝ)

Distinct	126
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.858695

Minimum	10
Maximum	139
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	10
5-th percentile	28
Q1	45
median	67
Q3	81
95-th percentile	105
Maximum	139
Range	129
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	23.47257
Coefficient of variation (CV)	0.36190322
Kurtosis	-0.36716324
Mean	64.858695
Median Absolute Deviation (MAD)	17
Skewness	0.15367307
Sum	656824
Variance	550.96156
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
81	208	2.1%
71	203	2.0%
75	203	2.0%
69	202	2.0%
82	202	2.0%
76	198	2.0%
77	197	1.9%
70	193	1.9%
74	190	1.9%
78	190	1.9%
Other values (116)	8141	80.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	4	< 0.1%
11	2	< 0.1%
12	4	< 0.1%
13	5	< 0.1%
14	9	0.1%
15	16	0.2%
16	13	0.1%
17	13	0.1%
18	23	0.2%
19	11	0.1%

Value	Count	Frequency (%)
139	1	< 0.1%
138	1	< 0.1%
134	1	< 0.1%
132	1	< 0.1%
131	6	0.1%
130	5	< 0.1%
129	6	0.1%
128	10	0.1%
127	12	0.1%
126	10	0.1%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id	idade	sexo	dependentes	escolaridade	estado_civil	salario_anual	tipo_cartao	meses_de_relacionamento	qtd_produtos	iteracoes_12m	meses_inativo_12m	limite_credito	valor_transacoes_12m	qtd_transacoes_12m
0	768805383	45	M	3	ensino medio	casado	$60K - $80K	blue	39	5	3	1	12.691,51	1.144,90	42
1	818770008	49	F	5	mestrado	solteiro	menos que $40K	blue	44	6	2	1	8.256,96	1.291,45	33
2	713982108	51	M	3	mestrado	casado	$80K - $120K	blue	36	4	0	1	3.418,56	1.887,72	20
3	769911858	40	F	4	ensino medio	na	menos que $40K	blue	34	3	1	4	3.313,03	1.171,56	20
4	709106358	40	M	3	sem educacao formal	casado	$60K - $80K	blue	21	5	0	1	4.716,22	816,08	28
5	713061558	44	M	2	mestrado	casado	$40K - $60K	blue	36	3	2	1	4.010,69	1.088,07	24
6	810347208	51	M	4	na	casado	$120K +	gold	46	6	3	1	34.516,72	1.330,87	31
7	818906208	32	M	0	ensino medio	na	$60K - $80K	silver	27	2	2	2	29.081,49	1.538,32	36
8	710930508	37	M	3	sem educacao formal	solteiro	$60K - $80K	blue	36	5	0	2	22.352,50	1.350,14	24
9	719661558	48	M	2	mestrado	solteiro	$80K - $120K	blue	36	6	3	3	11.656,41	1.441,73	32

	id	default	idade	sexo	dependentes	escolaridade	estado_civil	salario_anual	tipo_cartao	meses_de_relacionamento	qtd_produtos	iteracoes_12m	meses_inativo_12m	limite_credito	valor_transacoes_12m	qtd_transacoes_12m
10117	712503408	0	57	M	2	mestrado	casado	$80K - $120K	blue	40	6	4	3	17.925,33	17.498,70	111
10118	713755458	1	50	M	1	na	na	$80K - $120K	blue	36	6	4	3	9.959,96	10.310,41	63
10119	716893683	1	55	F	3	sem educacao formal	solteiro	na	blue	47	4	3	3	14.657,85	6.009,18	53
10120	710841183	0	54	M	1	ensino medio	solteiro	$60K - $80K	blue	34	5	0	2	13.940,62	15.577,67	114
10121	713899383	0	56	F	1	mestrado	solteiro	menos que $40K	blue	50	4	4	1	3.688,95	14.596,49	120
10122	772366833	0	50	M	2	mestrado	solteiro	$40K - $60K	blue	40	3	3	2	4.003,91	15.476,26	117
10123	710638233	1	41	M	2	na	divorciado	$40K - $60K	blue	25	4	3	2	4.277,04	8.764,88	69
10124	716506083	1	44	F	1	ensino medio	casado	menos que $40K	blue	36	5	4	3	5.409,16	10.291,78	60
10125	717406983	1	30	M	2	mestrado	na	$40K - $60K	blue	36	4	3	3	5.281,84	8.395,62	62
10126	714337233	1	43	F	2	mestrado	casado	menos que $40K	silver	25	6	4	2	10.388,80	10.294,96	61

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)